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Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM, music, and Lego. A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us.
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Senior Machine Learning Engineer page is loaded. As an ML Engineer, you will lead the development and deployment of innovative approaches to optimize existing and new machine learning systems, unlocking their full potential to drive maximum business value.
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If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Job Description Under the supervision and direction of the Expanded Learning Manager, the A cademic Mentor will develop and implement daily targeted interventions, in either Math and/or English Language Arts (ELA), to small groups of students in grades K-8.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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The Sr. Machine Learning Engineer role resides within the Ford’s Electric Vehicle organization. Help innovate and standardize machine learning development practices. Developing Machine Learning algorithms working with Data Scientists, optimizing them, and deploying them to production.
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Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling) Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.
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Under the direction of the Director of Academic Support and Advising, the Learning Specialist in the Office of Student Affairs at Kaiser Permanente Bernard J. Tyson School of Medicine is responsible for ensuring support in the area of academic skills and academic advising programs to all medical students.
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Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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learning job Title: reverse engineer Company: Meta in Belgrade, Montana
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